Requirements

• 8–12 years of experience in Platform Engineering, Data Engineering, Cloud Architecture, or AI Platform Engineering
• Proven experience building enterprise‑scale data and AI platforms
• Strong programming expertise in Java, Python, Full‑Stack and SQL
• Experience building microservices and API‑driven architectures
• Deep understanding of distributed systems and cloud‑native design
• Strong experience with Google Cloud Platform (GCP) (mandatory)
• Hands‑on experience with:
• Kubernetes and containerized workloads
• Terraform and Infrastructure‑as‑Code
• CI/CD pipelines and GitOps
• Experience with Kafka, Pub/Sub, Spark, Flink, or similar systems
• Strong background in real‑time and batch data processing
• LLM frameworks and APIs
• Multi‑agent orchestration frameworks (CrewAI, LangGraph, AutoGen, etc.)
• RAG pipelines and vector databases
• Experience b...